{"id":"W1972893030","doi":"10.1109/crv.2010.49","title":"Automated Place Classification Using Object Detection","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial intelligence; Object detection; Object (grammar); Computer vision; Pattern recognition (psychology)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006577114,0.001096474,0.001339039,0.004130263,0.0005719335,0.001411529,0.002328268,0.001196462,0.003382401],"category_scores_gemma":[0.00170896,0.0005062594,0.0007922126,0.002677511,0.0005997072,0.001825322,0.001386917,0.0005998039,0.002979793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005637906,"about_ca_system_score_gemma":0.0008458352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004472998,"about_ca_topic_score_gemma":0.007147528,"domain_scores_codex":[0.9990508,0.0001052842,0.00003917274,0.0003773626,0.0002981263,0.0001293055],"domain_scores_gemma":[0.9989108,0.0002305434,0.0001305696,0.0002937698,0.0003560067,0.00007829421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002643864,0.0002713625,0.008271886,0.0001870201,0.0001170061,0.0002529547,0.0001217678,0.02533877,0.05954554,0.002444772,0.007177399,0.8960072],"study_design_scores_gemma":[0.00005956567,0.0002338812,0.01753012,0.0000567559,0.000110757,0.0008425511,0.0003618038,0.8331598,0.1199513,0.01301549,0.01454416,0.0001335959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08963747,0.0004807816,0.8822569,0.0001546101,0.0001491454,0.0001888395,0.001292556,0.0204159,0.00542376],"genre_scores_gemma":[0.4480897,0.0002962296,0.5441185,0.0001068672,0.00007894175,0.000114439,0.00248461,0.0003337075,0.004376869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004472998,"threshold_uncertainty_score":0.01131529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822286698569434,"score_gpt":0.3206331831996562,"score_spread":0.2924103162139619,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}